Overview

Dataset statistics

Number of variables	26
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.3 MiB
Average record size in memory	138.0 B

Variable types

Numeric	7
Categorical	9
Boolean	10

Alerts

`Age` is highly overall correlated with `AgeGroup_25-34` and 3 other fields	High correlation
`AgeGroup_25-34` is highly overall correlated with `Age` and 1 other fields	High correlation
`AgeGroup_35-49` is highly overall correlated with `Age` and 1 other fields	High correlation
`AgeGroup_50-64` is highly overall correlated with `Age`	High correlation
`AgeGroup_65+` is highly overall correlated with `Age`	High correlation
`Age_Balance_interaction` is highly overall correlated with `Balance` and 2 other fields	High correlation
`Balance` is highly overall correlated with `Age_Balance_interaction` and 3 other fields	High correlation
`BalanceSalaryRatio` is highly overall correlated with `Age_Balance_interaction` and 1 other fields	High correlation
`CreditScore` is highly overall correlated with `CreditScoreBucket_High` and 2 other fields	High correlation
`CreditScoreBucket_High` is highly overall correlated with `CreditScore`	High correlation
`CreditScoreBucket_Med` is highly overall correlated with `CreditScore`	High correlation
`CreditScoreBucket_VeryHigh` is highly overall correlated with `CreditScore`	High correlation
`EstimatedSalary` is highly overall correlated with `LowSalary_HighBalance`	High correlation
`HighBalanceFlag` is highly overall correlated with `Age_Balance_interaction` and 2 other fields	High correlation
`LowSalary_HighBalance` is highly overall correlated with `Balance` and 2 other fields	High correlation
`MultipleProducts` is highly overall correlated with `NumOfProducts`	High correlation
`NumOfProducts` is highly overall correlated with `MultipleProducts`	High correlation
`Tenure` is highly overall correlated with `TenureBucket_2-3` and 2 other fields	High correlation
`TenureBucket_2-3` is highly overall correlated with `Tenure`	High correlation
`TenureBucket_4-6` is highly overall correlated with `Tenure`	High correlation
`TenureBucket_7-10` is highly overall correlated with `Tenure`	High correlation
`AgeGroup_50-64` is highly imbalanced (53.2%)	Imbalance
`AgeGroup_65+` is highly imbalanced (82.4%)	Imbalance
`BalanceSalaryRatio` is highly skewed (γ1 = 94.26402235)	Skewed
`HighBalanceFlag` is uniformly distributed	Uniform
`Tenure` has 413 (4.1%) zeros	Zeros
`Balance` has 3617 (36.2%) zeros	Zeros
`BalanceSalaryRatio` has 3617 (36.2%) zeros	Zeros

Reproduction

Analysis started	2025-12-15 06:24:58.261915
Analysis finished	2025-12-15 06:25:14.513080
Duration	16.25 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

CreditScore
Real number (ℝ)

High correlation

Distinct	460
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	650.5288

Minimum	350
Maximum	850
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	350
5-th percentile	489
Q1	584
median	652
Q3	718
95-th percentile	812
Maximum	850
Range	500
Interquartile range (IQR)	134

Descriptive statistics

Standard deviation	96.653299
Coefficient of variation (CV)	0.14857651
Kurtosis	-0.42572568
Mean	650.5288
Median Absolute Deviation (MAD)	67
Skewness	-0.071606608
Sum	6505288
Variance	9341.8602
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
850	233	2.3%
678	63	0.6%
655	54	0.5%
705	53	0.5%
667	53	0.5%
684	52	0.5%
651	50	0.5%
670	50	0.5%
683	48	0.5%
652	48	0.5%
Other values (450)	9296	93.0%

Value	Count	Frequency (%)
350	5	0.1%
351	1	< 0.1%
358	1	< 0.1%
359	1	< 0.1%
363	1	< 0.1%
365	1	< 0.1%
367	1	< 0.1%
373	1	< 0.1%
376	2	< 0.1%
382	1	< 0.1%

Value	Count	Frequency (%)
850	233	2.3%
849	8	0.1%
848	5	0.1%
847	6	0.1%
846	5	0.1%
845	6	0.1%
844	7	0.1%
843	2	< 0.1%
842	7	0.1%
841	12	0.1%

Age
Real number (ℝ)

High correlation

Distinct	70
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.9218

Minimum	18
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	18
5-th percentile	25
Q1	32
median	37
Q3	44
95-th percentile	60
Maximum	92
Range	74
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	10.487806
Coefficient of variation (CV)	0.26945841
Kurtosis	1.3953471
Mean	38.9218
Median Absolute Deviation (MAD)	6
Skewness	1.0113203
Sum	389218
Variance	109.99408
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37	478	4.8%
38	477	4.8%
35	474	4.7%
36	456	4.6%
34	447	4.5%
33	442	4.4%
40	432	4.3%
39	423	4.2%
32	418	4.2%
31	404	4.0%
Other values (60)	5549	55.5%

Value	Count	Frequency (%)
18	22	0.2%
19	27	0.3%
20	40	0.4%
21	53	0.5%
22	84	0.8%
23	99	1.0%
24	132	1.3%
25	154	1.5%
26	200	2.0%
27	209	2.1%

Value	Count	Frequency (%)
92	2	< 0.1%
88	1	< 0.1%
85	1	< 0.1%
84	2	< 0.1%
83	1	< 0.1%
82	1	< 0.1%
81	4	< 0.1%
80	3	< 0.1%
79	4	< 0.1%
78	5	0.1%

Tenure
Real number (ℝ)

High correlation Zeros

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.0128

Minimum	0
Maximum	10
Zeros	413
Zeros (%)	4.1%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	9
Maximum	10
Range	10
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.8921744
Coefficient of variation (CV)	0.57695786
Kurtosis	-1.1652252
Mean	5.0128
Median Absolute Deviation (MAD)	2
Skewness	0.010991458
Sum	50128
Variance	8.3646726
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2	1048	10.5%
1	1035	10.3%
7	1028	10.3%
8	1025	10.2%
5	1012	10.1%
3	1009	10.1%
4	989	9.9%
9	984	9.8%
6	967	9.7%
10	490	4.9%

Value	Count	Frequency (%)
0	413	4.1%
1	1035	10.3%
2	1048	10.5%
3	1009	10.1%
4	989	9.9%
5	1012	10.1%
6	967	9.7%
7	1028	10.3%
8	1025	10.2%
9	984	9.8%

Value	Count	Frequency (%)
10	490	4.9%
9	984	9.8%
8	1025	10.2%
7	1028	10.3%
6	967	9.7%
5	1012	10.1%
4	989	9.9%
3	1009	10.1%
2	1048	10.5%
1	1035	10.3%

Balance
Real number (ℝ)

High correlation Zeros

Distinct	6382
Distinct (%)	63.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76485.889

Minimum	0
Maximum	250898.09
Zeros	3617
Zeros (%)	36.2%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	97198.54
Q3	127644.24
95-th percentile	162711.67
Maximum	250898.09
Range	250898.09
Interquartile range (IQR)	127644.24

Descriptive statistics

Standard deviation	62397.405
Coefficient of variation (CV)	0.81580283
Kurtosis	-1.4894118
Mean	76485.889
Median Absolute Deviation (MAD)	46766.79
Skewness	-0.14110871
Sum	7.6485889 × 10⁸
Variance	3.8934362 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3617	36.2%
130170.82	2	< 0.1%
105473.74	2	< 0.1%
159397.75	1	< 0.1%
144238.7	1	< 0.1%
112262.84	1	< 0.1%
109106.8	1	< 0.1%
142147.32	1	< 0.1%
109109.33	1	< 0.1%
146587.3	1	< 0.1%
Other values (6372)	6372	63.7%

Value	Count	Frequency (%)
0	3617	36.2%
3768.69	1	< 0.1%
12459.19	1	< 0.1%
14262.8	1	< 0.1%
16893.59	1	< 0.1%
23503.31	1	< 0.1%
24043.45	1	< 0.1%
27288.43	1	< 0.1%
27517.15	1	< 0.1%
27755.97	1	< 0.1%

Value	Count	Frequency (%)
250898.09	1	< 0.1%
238387.56	1	< 0.1%
222267.63	1	< 0.1%
221532.8	1	< 0.1%
216109.88	1	< 0.1%
214346.96	1	< 0.1%
213146.2	1	< 0.1%
212778.2	1	< 0.1%
212696.32	1	< 0.1%
212692.97	1	< 0.1%

NumOfProducts
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

1	5084
2	4590
3	266
4	60

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	3
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	5084	50.8%
2	4590	45.9%
3	266	2.7%
4	60	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5084	50.8%
2	4590	45.9%
3	266	2.7%
4	60	0.6%

Most occurring characters

Value	Count	Frequency (%)
1	5084	50.8%
2	4590	45.9%
3	266	2.7%
4	60	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	5084	50.8%
2	4590	45.9%
3	266	2.7%
4	60	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	5084	50.8%
2	4590	45.9%
3	266	2.7%
4	60	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	5084	50.8%
2	4590	45.9%
3	266	2.7%
4	60	0.6%

HasCrCard
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

1	7055
0	2945

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	7055	70.5%
0	2945	29.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	7055	70.5%
0	2945	29.4%

Most occurring characters

Value	Count	Frequency (%)
1	7055	70.5%
0	2945	29.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	7055	70.5%
0	2945	29.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	7055	70.5%
0	2945	29.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	7055	70.5%
0	2945	29.4%

IsActiveMember
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

1	5151
0	4849

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	5151	51.5%
0	4849	48.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5151	51.5%
0	4849	48.5%

Most occurring characters

Value	Count	Frequency (%)
1	5151	51.5%
0	4849	48.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	5151	51.5%
0	4849	48.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	5151	51.5%
0	4849	48.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	5151	51.5%
0	4849	48.5%

EstimatedSalary
Real number (ℝ)

High correlation

Distinct	9999
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100090.24

Minimum	11.58
Maximum	199992.48
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	11.58
5-th percentile	9851.8185
Q1	51002.11
median	100193.91
Q3	149388.25
95-th percentile	190155.38
Maximum	199992.48
Range	199980.9
Interquartile range (IQR)	98386.137

Descriptive statistics

Standard deviation	57510.493
Coefficient of variation (CV)	0.57458642
Kurtosis	-1.1815184
Mean	100090.24
Median Absolute Deviation (MAD)	49198.15
Skewness	0.0020853577
Sum	1.0009024 × 10⁹
Variance	3.3074568 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24924.92	2	< 0.1%
121505.61	1	< 0.1%
89874.82	1	< 0.1%
72500.68	1	< 0.1%
182692.8	1	< 0.1%
4993.94	1	< 0.1%
124964.82	1	< 0.1%
161971.42	1	< 0.1%
3729.89	1	< 0.1%
55313.44	1	< 0.1%
Other values (9989)	9989	99.9%

Value	Count	Frequency (%)
11.58	1	< 0.1%
90.07	1	< 0.1%
91.75	1	< 0.1%
96.27	1	< 0.1%
106.67	1	< 0.1%
123.07	1	< 0.1%
142.81	1	< 0.1%
143.34	1	< 0.1%
178.19	1	< 0.1%
216.27	1	< 0.1%

Value	Count	Frequency (%)
199992.48	1	< 0.1%
199970.74	1	< 0.1%
199953.33	1	< 0.1%
199929.17	1	< 0.1%
199909.32	1	< 0.1%
199862.75	1	< 0.1%
199857.47	1	< 0.1%
199841.32	1	< 0.1%
199808.1	1	< 0.1%
199805.63	1	< 0.1%

Exited
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	7963
1	2037

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7963	79.6%
1	2037	20.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7963	79.6%
1	2037	20.4%

Most occurring characters

Value	Count	Frequency (%)
0	7963	79.6%
1	2037	20.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	7963	79.6%
1	2037	20.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	7963	79.6%
1	2037	20.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	7963	79.6%
1	2037	20.4%

BalanceSalaryRatio
Real number (ℝ)

High correlation Skewed Zeros

Distinct	6384
Distinct (%)	63.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8787029

Minimum	0
Maximum	10614.655
Zeros	3617
Zeros (%)	36.2%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.74700231
Q3	1.514022
95-th percentile	7.2495003
Maximum	10614.655
Range	10614.655
Interquartile range (IQR)	1.514022

Descriptive statistics

Standard deviation	108.33726
Coefficient of variation (CV)	27.931311
Kurtosis	9208.1391
Mean	3.8787029
Median Absolute Deviation (MAD)	0.74700231
Skewness	94.264022
Sum	38787.029
Variance	11736.962
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3617	36.2%
0.8652829362	1	< 0.1%
1.835961263	1	< 0.1%
2.780685754	1	< 0.1%
0.7822065495	1	< 0.1%
8.720534374	1	< 0.1%
0.8993965269	1	< 0.1%
3.599756281	1	< 0.1%
21.8483462	1	< 0.1%
1.63101634	1	< 0.1%
Other values (6374)	6374	63.7%

Value	Count	Frequency (%)
0	3617	36.2%
0.02128418881	1	< 0.1%
0.07946553593	1	< 0.1%
0.1383670781	1	< 0.1%
0.1416141163	1	< 0.1%
0.1809964844	1	< 0.1%
0.1875142498	1	< 0.1%
0.1925817779	1	< 0.1%
0.2009926374	1	< 0.1%
0.2053787413	1	< 0.1%

Value	Count	Frequency (%)
10614.65544	1	< 0.1%
1326.102779	1	< 0.1%
856.0641098	1	< 0.1%
611.268941	1	< 0.1%
437.9808416	1	< 0.1%
353.2296248	1	< 0.1%
349.5219873	1	< 0.1%
345.3423327	1	< 0.1%
321.3587687	1	< 0.1%
291.1422313	1	< 0.1%

HighBalanceFlag
Categorical

High correlation Uniform

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	5000
1	5000

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	5000	50.0%
1	5000	50.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5000	50.0%
1	5000	50.0%

Most occurring characters

Value	Count	Frequency (%)
0	5000	50.0%
1	5000	50.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5000	50.0%
1	5000	50.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5000	50.0%
1	5000	50.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5000	50.0%
1	5000	50.0%

MultipleProducts
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	5084
1	4916

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	5084	50.8%
1	4916	49.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5084	50.8%
1	4916	49.2%

Most occurring characters

Value	Count	Frequency (%)
0	5084	50.8%
1	4916	49.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5084	50.8%
1	4916	49.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5084	50.8%
1	4916	49.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5084	50.8%
1	4916	49.2%

Age_Balance_interaction
Real number (ℝ)

High correlation

Distinct	6450
Distinct (%)	64.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2995530.9

Minimum	18
Maximum	13797027
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.3 KiB

Quantile statistics

Minimum	18
5-th percentile	29
Q1	41
median	3360241.8
Q3	4911073.1
95-th percentile	7309047.8
Maximum	13797027
Range	13797009
Interquartile range (IQR)	4911032.1

Descriptive statistics

Standard deviation	2646816.1
Coefficient of variation (CV)	0.88358832
Kurtosis	-0.68592952
Mean	2995530.9
Median Absolute Deviation (MAD)	2508171
Skewness	0.33313053
Sum	2.9955309 × 10¹⁰
Variance	7.0056354 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34	178	1.8%
36	176	1.8%
38	175	1.8%
35	172	1.7%
37	168	1.7%
39	163	1.6%
33	162	1.6%
32	156	1.6%
40	153	1.5%
29	147	1.5%
Other values (6440)	8350	83.5%

Value	Count	Frequency (%)
18	8	0.1%
19	11	0.1%
20	17	0.2%
21	20	0.2%
22	36	0.4%
23	35	0.4%
24	52	0.5%
25	56	0.6%
26	66	0.7%
27	86	0.9%

Value	Count	Frequency (%)
13797026.94	1	< 0.1%
13588147.92	1	< 0.1%
13002683.69	1	< 0.1%
12903974.97	1	< 0.1%
12678472.62	1	< 0.1%
12534431.04	1	< 0.1%
12481824.32	1	< 0.1%
12427717.1	1	< 0.1%
12234531.68	1	< 0.1%
12087966.55	1	< 0.1%

LowSalary_HighBalance
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	7516
1	2484

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	7516	75.2%
1	2484	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	7516	75.2%
1	2484	24.8%

Most occurring characters

Value	Count	Frequency (%)
0	7516	75.2%
1	2484	24.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	7516	75.2%
1	2484	24.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	7516	75.2%
1	2484	24.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	7516	75.2%
1	2484	24.8%

Geography_LE
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

0	5014
1	2509
2	2477

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	2
3rd row	0
4th row	0
5th row	2

Common Values

Value	Count	Frequency (%)
0	5014	50.1%
1	2509	25.1%
2	2477	24.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5014	50.1%
1	2509	25.1%
2	2477	24.8%

Most occurring characters

Value	Count	Frequency (%)
0	5014	50.1%
1	2509	25.1%
2	2477	24.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5014	50.1%
1	2509	25.1%
2	2477	24.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5014	50.1%
1	2509	25.1%
2	2477	24.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5014	50.1%
1	2509	25.1%
2	2477	24.8%

Gender_LE
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.3 KiB

1	5457
0	4543

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	5457	54.6%
0	4543	45.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	5457	54.6%
0	4543	45.4%

Most occurring characters

Value	Count	Frequency (%)
1	5457	54.6%
0	4543	45.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	5457	54.6%
0	4543	45.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	5457	54.6%
0	4543	45.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	5457	54.6%
0	4543	45.4%

AgeGroup_25-34
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	6458
True	3542

Value	Count	Frequency (%)
False	6458	64.6%
True	3542	35.4%

AgeGroup_35-49
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	5414
True	4586

Value	Count	Frequency (%)
False	5414	54.1%
True	4586	45.9%

AgeGroup_50-64
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	9003
True	997

Value	Count	Frequency (%)
False	9003	90.0%
True	997	10.0%

AgeGroup_65+
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	9736
True	264

Value	Count	Frequency (%)
False	9736	97.4%
True	264	2.6%

TenureBucket_2-3
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	7943
True	2057

Value	Count	Frequency (%)
False	7943	79.4%
True	2057	20.6%

TenureBucket_4-6
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	7032
True	2968

Value	Count	Frequency (%)
False	7032	70.3%
True	2968	29.7%

TenureBucket_7-10
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	6473
True	3527

Value	Count	Frequency (%)
False	6473	64.7%
True	3527	35.3%

CreditScoreBucket_Med
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	7499
True	2501

Value	Count	Frequency (%)
False	7499	75.0%
True	2501	25.0%

CreditScoreBucket_High
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	7498
True	2502

Value	Count	Frequency (%)
False	7498	75.0%
True	2502	25.0%

CreditScoreBucket_VeryHigh
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.9 KiB

False	7537
True	2463

Value	Count	Frequency (%)
False	7537	75.4%
True	2463	24.6%

Interactions

Correlations

	Age	AgeGroup_25-34	AgeGroup_35-49	AgeGroup_50-64	AgeGroup_65+	Age_Balance_interaction	Balance	BalanceSalaryRatio	CreditScore	CreditScoreBucket_High	CreditScoreBucket_Med	CreditScoreBucket_VeryHigh	EstimatedSalary	Exited	Gender_LE	Geography_LE	HasCrCard	HighBalanceFlag	IsActiveMember	LowSalary_HighBalance	MultipleProducts	NumOfProducts	Tenure	TenureBucket_2-3	TenureBucket_4-6	TenureBucket_7-10
Age	1.000	0.792	0.752	0.830	0.894	0.444	0.033	0.036	-0.008	0.000	0.000	0.000	-0.002	0.375	0.026	0.050	0.013	0.039	0.144	0.014	0.086	0.087	-0.010	0.000	0.000	0.000
AgeGroup_25-34	0.792	1.000	0.681	0.246	0.121	0.335	0.011	0.000	0.019	0.000	0.007	0.000	0.028	0.218	0.018	0.046	0.017	0.020	0.000	0.010	0.042	0.087	0.018	0.000	0.000	0.000
AgeGroup_35-49	0.752	0.681	1.000	0.306	0.151	0.288	0.000	0.002	0.000	0.000	0.000	0.000	0.028	0.095	0.000	0.028	0.001	0.000	0.068	0.000	0.000	0.034	0.026	0.000	0.000	0.007
AgeGroup_50-64	0.830	0.246	0.306	1.000	0.053	0.376	0.039	0.027	0.033	0.004	0.000	0.000	0.004	0.269	0.018	0.029	0.006	0.029	0.059	0.026	0.070	0.112	0.019	0.000	0.020	0.000
AgeGroup_65+	0.894	0.121	0.151	0.053	1.000	0.370	0.000	0.000	0.010	0.000	0.000	0.015	0.000	0.026	0.000	0.000	0.000	0.010	0.119	0.000	0.000	0.000	0.013	0.000	0.005	0.000
Age_Balance_interaction	0.444	0.335	0.288	0.376	0.370	1.000	0.891	0.777	0.003	0.037	0.009	0.020	0.008	0.240	0.025	0.309	0.000	0.840	0.062	0.489	0.386	0.231	-0.012	0.010	0.000	0.011
Balance	0.033	0.011	0.000	0.039	0.000	0.891	1.000	0.822	0.006	0.000	0.000	0.000	0.012	0.141	0.000	0.315	0.039	0.963	0.014	0.550	0.388	0.230	-0.010	0.036	0.030	0.024
BalanceSalaryRatio	0.036	0.000	0.002	0.027	0.000	0.777	0.822	1.000	0.007	0.012	0.012	0.000	-0.369	0.024	0.002	0.010	0.009	0.000	0.001	0.020	0.000	0.000	-0.018	0.000	0.009	0.006
CreditScore	-0.008	0.019	0.000	0.033	0.010	0.003	0.006	0.007	1.000	0.867	0.878	0.894	0.001	0.086	0.000	0.018	0.000	0.016	0.025	0.000	0.008	0.017	0.001	0.000	0.000	0.000
CreditScoreBucket_High	0.000	0.000	0.000	0.004	0.000	0.037	0.000	0.012	0.867	1.000	0.333	0.330	0.000	0.029	0.000	0.022	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.000	0.000
CreditScoreBucket_Med	0.000	0.007	0.000	0.000	0.000	0.009	0.000	0.012	0.878	0.333	1.000	0.330	0.000	0.000	0.000	0.024	0.018	0.000	0.000	0.000	0.012	0.016	0.000	0.000	0.000	0.011
CreditScoreBucket_VeryHigh	0.000	0.000	0.000	0.000	0.015	0.020	0.000	0.000	0.894	0.330	0.330	1.000	0.017	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
EstimatedSalary	-0.002	0.028	0.028	0.004	0.000	0.008	0.012	-0.369	0.001	0.000	0.000	0.017	1.000	0.000	0.021	0.017	0.000	0.000	0.025	0.573	0.000	0.019	0.008	0.009	0.002	0.000
Exited	0.375	0.218	0.095	0.269	0.026	0.240	0.141	0.024	0.086	0.029	0.000	0.000	0.000	1.000	0.106	0.173	0.000	0.114	0.156	0.063	0.185	0.387	0.022	0.000	0.000	0.012
Gender_LE	0.026	0.018	0.000	0.018	0.000	0.025	0.000	0.002	0.000	0.000	0.000	0.000	0.021	0.106	1.000	0.022	0.000	0.008	0.020	0.017	0.000	0.042	0.025	0.000	0.000	0.012
Geography_LE	0.050	0.046	0.028	0.029	0.000	0.309	0.315	0.010	0.018	0.022	0.024	0.009	0.017	0.173	0.022	1.000	0.005	0.363	0.018	0.208	0.032	0.047	0.028	0.000	0.000	0.000
HasCrCard	0.013	0.017	0.001	0.006	0.000	0.000	0.039	0.009	0.000	0.000	0.018	0.000	0.000	0.000	0.000	0.005	1.000	0.000	0.006	0.000	0.000	0.000	0.026	0.000	0.000	0.007
HighBalanceFlag	0.039	0.020	0.000	0.029	0.010	0.840	0.963	0.000	0.016	0.000	0.000	0.000	0.000	0.114	0.008	0.363	0.000	1.000	0.007	0.575	0.302	0.310	0.000	0.000	0.021	0.000
IsActiveMember	0.144	0.000	0.068	0.059	0.119	0.062	0.014	0.001	0.025	0.009	0.000	0.000	0.025	0.156	0.020	0.018	0.006	0.007	1.000	0.000	0.020	0.038	0.021	0.006	0.002	0.015
LowSalary_HighBalance	0.014	0.010	0.000	0.026	0.000	0.489	0.550	0.020	0.000	0.000	0.000	0.000	0.573	0.063	0.017	0.208	0.000	0.575	0.000	1.000	0.184	0.187	0.000	0.022	0.000	0.010
MultipleProducts	0.086	0.042	0.000	0.070	0.000	0.386	0.388	0.000	0.008	0.000	0.012	0.000	0.000	0.185	0.000	0.032	0.000	0.302	0.020	0.184	1.000	1.000	0.045	0.019	0.000	0.000
NumOfProducts	0.087	0.087	0.034	0.112	0.000	0.231	0.230	0.000	0.017	0.000	0.016	0.000	0.019	0.387	0.042	0.047	0.000	0.310	0.038	0.187	1.000	1.000	0.035	0.026	0.000	0.000
Tenure	-0.010	0.018	0.026	0.019	0.013	-0.012	-0.010	-0.018	0.001	0.000	0.000	0.000	0.008	0.022	0.025	0.028	0.026	0.000	0.021	0.000	0.045	0.035	1.000	1.000	1.000	1.000
TenureBucket_2-3	0.000	0.000	0.000	0.000	0.000	0.010	0.036	0.000	0.000	0.000	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.006	0.022	0.019	0.026	1.000	1.000	0.330	0.375
TenureBucket_4-6	0.000	0.000	0.000	0.020	0.005	0.000	0.030	0.009	0.000	0.000	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.021	0.002	0.000	0.000	0.000	1.000	0.330	1.000	0.479
TenureBucket_7-10	0.000	0.000	0.007	0.000	0.000	0.011	0.024	0.006	0.000	0.000	0.011	0.000	0.000	0.012	0.012	0.000	0.007	0.000	0.015	0.010	0.000	0.000	1.000	0.375	0.479	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	CreditScore	Age	Tenure	Balance	NumOfProducts	HasCrCard	IsActiveMember	EstimatedSalary	Exited	BalanceSalaryRatio	HighBalanceFlag	MultipleProducts	Age_Balance_interaction	LowSalary_HighBalance	Geography_LE	Gender_LE	AgeGroup_25-34	AgeGroup_35-49	AgeGroup_50-64	AgeGroup_65+	TenureBucket_2-3	TenureBucket_4-6	TenureBucket_7-10	CreditScoreBucket_Med	CreditScoreBucket_High	CreditScoreBucket_VeryHigh
0	619	42	2	0.00	1	1	1	101348.88	1	0.000000	0	0	42.00	0	0	0	False	True	False	False	True	False	False	True	False	False
1	608	41	1	83807.86	1	0	1	112542.58	0	0.744677	0	0	3436163.26	0	2	0	False	True	False	False	False	False	False	True	False	False
2	502	42	8	159660.80	3	1	0	113931.57	1	1.401375	1	1	6705795.60	0	0	0	False	True	False	False	False	False	True	False	False	False
3	699	39	1	0.00	2	0	0	93826.63	0	0.000000	0	1	39.00	0	0	0	False	True	False	False	False	False	False	False	True	False
4	850	43	2	125510.82	1	1	1	79084.10	0	1.587055	1	0	5397008.26	1	2	0	False	True	False	False	True	False	False	False	False	True
5	645	44	8	113755.78	2	1	0	149756.71	1	0.759604	1	1	5005298.32	0	2	1	False	True	False	False	False	False	True	True	False	False
6	822	50	7	0.00	2	1	1	10062.80	0	0.000000	0	1	50.00	0	0	1	False	True	False	False	False	False	True	False	False	True
7	376	29	4	115046.74	4	1	0	119346.88	1	0.963969	1	1	3336384.46	0	1	0	True	False	False	False	False	True	False	False	False	False
8	501	44	4	142051.07	2	0	1	74940.50	0	1.895518	1	1	6250291.08	1	0	1	False	True	False	False	False	True	False	False	False	False
9	684	27	2	134603.88	1	1	1	71725.73	0	1.876647	1	0	3634331.76	1	0	1	True	False	False	False	True	False	False	False	True	False

	CreditScore	Age	Tenure	Balance	NumOfProducts	HasCrCard	IsActiveMember	EstimatedSalary	Exited	BalanceSalaryRatio	HighBalanceFlag	MultipleProducts	Age_Balance_interaction	LowSalary_HighBalance	Geography_LE	Gender_LE	AgeGroup_25-34	AgeGroup_35-49	AgeGroup_50-64	AgeGroup_65+	TenureBucket_2-3	TenureBucket_4-6	TenureBucket_7-10	CreditScoreBucket_Med	CreditScoreBucket_High	CreditScoreBucket_VeryHigh
9990	714	33	3	35016.60	1	1	0	53667.08	0	0.652478	0	0	1155580.80	0	1	1	True	False	False	False	True	False	False	False	True	False
9991	597	53	4	88381.21	1	1	0	69384.71	1	1.273785	0	0	4684257.13	0	0	0	False	False	True	False	False	True	False	True	False	False
9992	726	36	2	0.00	1	1	0	195192.40	0	0.000000	0	0	36.00	0	2	1	False	True	False	False	True	False	False	False	False	True
9993	644	28	7	155060.41	1	1	0	29179.52	0	5.314015	1	0	4341719.48	1	0	1	True	False	False	False	False	False	True	True	False	False
9994	800	29	2	0.00	2	0	0	167773.55	0	0.000000	0	1	29.00	0	0	0	True	False	False	False	True	False	False	False	False	True
9995	771	39	5	0.00	2	1	0	96270.64	0	0.000000	0	1	39.00	0	0	1	False	True	False	False	False	True	False	False	False	True
9996	516	35	10	57369.61	1	1	1	101699.77	0	0.564108	0	0	2007971.35	0	0	1	True	False	False	False	False	False	True	False	False	False
9997	709	36	7	0.00	1	0	1	42085.58	1	0.000000	0	0	36.00	0	0	0	False	True	False	False	False	False	True	False	True	False
9998	772	42	3	75075.31	2	1	0	92888.52	1	0.808230	0	1	3153205.02	0	1	1	False	True	False	False	True	False	False	False	False	True
9999	792	28	4	130142.79	1	1	0	38190.78	0	3.407702	1	0	3644026.12	1	0	0	True	False	False	False	False	True	False	False	False	True

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)